摘要
在生产诸如自行车轮胎等产品过程中,存在人工识别分拣工作量大、过程枯燥乏味及效率低下的现象。针对这一问题,研究了一种基于机器视觉的轮胎快速识别分拣方法,该方法依靠机器视觉系统抓取生产线工作区域图像,利用NCC(归一化积相关)模板匹配准确的特点快速匹配到轮胎上的固定编号,然后进行扇形固定区域扫描获取编号区域,通过双线性插值将定位出的环形区域转换为矩形区域,实现轮胎编号信息的快速识别,最终驱动机器人完成分拣工作。实验结果证明,该方法安全可靠,具有较好的实际应用价值。
In the process of producing products such as bicycle tires, there exist the phenomenon of large amount of manual identification and sorting workload, and the process is tedious and inefficient. Aimed to solve this problem, a tire rapid recognition and sorting method is researched based on machine vision. The method was relied on machine vision system to grab the production line work area image, by using the characteristic of normalized product correlation （NCC） product template matching accurate fast matching to the tire fixed number, and in sector fixed area scanned area number. By bilinear interpolation, the annular region was located and con- verted to a rectangular area, to achieve the rapid identification of tire number information, and ultimately driven the robot to complete the sorting work. Experimental results prove that the method is safe and reliable, and has good practical application value.
出处
《机床与液压》
北大核心
2017年第23期30-32,共3页
Machine Tool & Hydraulics
关键词
机器视觉
归一化积相关
模板匹配
快速识别
Machine vision
Normalized product correlation
Template matching
Rapid identification
